Jun Wang
Professor of Information and Data Science
Researches multi-agent reinforcement learning, deep generative models and information retrieval.
Jun Wang's lab at UCL works on reinforcement learning, generative & foundation models and planning, control & multi-robot systems. 135 papers since 2023, 86 at top venues, mostly NeurIPS and ICLR.
At a glance
- papers, 2023–2026
- 35/ year
- at T1 venues
- 64%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 24 papers2026 · T1 14 · collecting
- 49 papers2025 · T1 33
- 29 papers2024 · T1 16
- 33 papers2023 · T1 23
T1 venuesOtherVenues: NeurIPS, ICLR, AAMAS, ICML, AAAI
Research focuspaper titles that use each topic's words
- Reinforcement learning47 papers
- Planning, control & multi-robot systems30 papers
- Generative & foundation models12 papers
- multi-agent reinforcement6 papers
- deep generative0 papers
Paper list
From DBLP.
202624 papers
- ICLR (T1)A Benchmark for Deep Information Synthesis (opens in a new tab)
- Findings of ACLAgent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual Learning (opens in a new tab)
- ICLR (T1)Bottlenecked Transformers: Periodic KV Cache Consolidation for Generalised Reasoning (opens in a new tab)
- ICLR (T1)CurES: From Gradient Analysis to Efficient Curriculum Learning for Reasoning LLMs (opens in a new tab)
- ACL (T1)Dual Activation-Weight Sparsity: A Training-Free Framework for Efficient Large Language Model Compression (opens in a new tab)
- AAMAS (T1)Feasible Constraint Policy Optimization for Safe Reinforcement Learning (opens in a new tab)
- IEEE Trans. Cogn. Commun. Netw.FedDM: Federated Learning Incorporating Dissimilarity Measure for Mobile Edge Computing Systems (opens in a new tab)
- Cogn. Comput.Hierarchical Mean-Field Theory-based Off-Policy GRPO for Federated Edge Learning in Resource-Constrained Edge Computing (opens in a new tab)
- Inf. FusionMulti-task mutual learning for multimodal emotion-cause pair extraction in conversations (opens in a new tab)
- Trans. Mach. Learn. Res.On Almost Surely Safe Alignment of Large Language Models at Inference Time (opens in a new tab)
- IEEE Robotics Autom. Lett.OpenPyRo-A1: An Open Python-Based Low-Cost Bimanual Robot for Embodied AI (opens in a new tab)
- IEEE J. Biomed. Health InformaticsPrivacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach (opens in a new tab)
202549 papers
- AAAI (T1)4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance (opens in a new tab)
- NeurIPS (T1)A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning (opens in a new tab)
- ICMEACCL: A Plug-and-play Adaptive Confusion-aware Contrastive Loss for UAV-to-Satellite Geolocalization (opens in a new tab)
- Sci. China Inf. Sci.An enhanced 6G pervasive channel model towards standardization (opens in a new tab)
- Findings of ACLBoost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation (opens in a new tab)
- NeurIPS (T1)Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning (opens in a new tab)
- ICLR (T1)Circuit Transformer: A Transformer That Preserves Logical Equivalence (opens in a new tab)
- NeurIPS (T1)CMoB: Modality Valuation via Causal Effect for Balanced Multimodal Learning (opens in a new tab)
- ICML (T1)Constrain Alignment with Sparse Autoencoders (opens in a new tab)
- NeurIPS (T1)Curious Causality-Seeking Agents in Open-ended Worlds (opens in a new tab)
- EMNLP (T1)Direct Value Optimization: Improving Chain-of-Thought Reasoning in LLMs with Refined Values (opens in a new tab)
- ICLR (T1)DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent (opens in a new tab)
202429 papers
- TPAMI (T1)A Review of Safe Reinforcement Learning: Methods, Theories, and Applications (opens in a new tab)
- AAMAS (T1)A Summary of Online Markov Decision Processes with Non-oblivious Strategic Adversary (opens in a new tab)
- Comput. Sci. Rev.A survey on algorithms for Nash equilibria in finite normal-form games (opens in a new tab)
- DAIAdaptive Command : Real-Time Policy Adjustment via Language Models in StarCraft II (opens in a new tab)
- ICML (T1)AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training (opens in a new tab)
- Mach. Intell. Res.An Empirical Study on Google Research Football Multi-agent Scenarios (opens in a new tab)
- AAMAS (T1)Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: The Past, Present, and Future (opens in a new tab)
- IEEE ACM Trans. Audio Speech Lang. Process.Cross-Utterance Conditioned VAE for Speech Generation (opens in a new tab)
- ICML (T1)DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning (opens in a new tab)
- TPAMI (T1)Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving (opens in a new tab)
- WASSAHITSZ-HLT at WASSA-2024 Shared Task 2: Language-agnostic Multi-task Learning for Explainability of Cross-lingual Emotion Detection (opens in a new tab)
- AAAI (T1)Human-Guided Moral Decision Making in Text-Based Games (opens in a new tab)
202333 papers
- IEEE Netw.6G Network AI Architecture for Everyone-Centric Customized Services (opens in a new tab)
- ICML (T1)A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems (opens in a new tab)
- NeurIPS (T1)An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination (opens in a new tab)
- NeurIPS (T1)ChessGPT: Bridging Policy Learning and Language Modeling (opens in a new tab)
- ICDMCounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation (opens in a new tab)
- ACM Trans. Inf. Syst.Debiased Recommendation with User Feature Balancing (opens in a new tab)
- ICDE (T1)Enhanced Discrete Multi-modal Hashing: More Constraints yet Less Time to Learn (Extended Abstract) (opens in a new tab)
- ICML (T1)GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models (opens in a new tab)
- ACM Trans. Knowl. Discov. DataGEO: A Computational Design Framework for Automotive Exterior Facelift (opens in a new tab)
- EMNLP (T1)How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances (opens in a new tab)
- NeurIPS (T1)Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach (opens in a new tab)
- NeurIPS (T1)Invariant Learning via Probability of Sufficient and Necessary Causes (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UCLFall 2027
Not announced yet
Computer Science MPhil/PhD
- Round
- Main
- Opens
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- GRE
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- English
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- Fee
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Not yet confirmed for this intake.
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